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Financial and fiscal environmental regulation in a credit cycle model

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  • Kubin, Ingrid
  • Zörner, Thomas O.

Abstract

We augment an overlapping generations endogenous credit cycle model with an environmental sector and study the interplay between fiscal and financial environmental regulation, which ultimately affects environmental quality, macroeconomic stability, and income distribution. We define environmental quality as the amount of pollution emitted, which can be regulated either by financial constraints on polluting projects (environmental haircuts) or by tax-financed investment in abatement and improvement technologies. We find that environmental haircuts and environmental taxes each affect emissions and income distribution in unique ways, with interaction effects that reveal trade-offs between economic stability, income, and environmental outcomes. Compared to scenarios in which only financial regulations are implemented, the introduction of a supplementary environmental tax on emissions maintains similar environmental standards, but leads to higher total income and capital per worker. However, this shift in income distribution favors green investors, while the older generation, which relies more on capital income, may experience an overall decrease in net income.

Suggested Citation

  • Kubin, Ingrid & Zörner, Thomas O., 2024. "Financial and fiscal environmental regulation in a credit cycle model," Department of Economics Working Paper Series 373, WU Vienna University of Economics and Business.
    • Handle: RePEc:wiw:wus005:69981137
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    1. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    2. ,, 2013. "The good, the bad, and the ugly: An inquiry into the causes and nature of credit cycles," Theoretical Economics, Econometric Society, vol. 8(3), September.
    3. Kubin, Ingrid & Zörner, Thomas O. & Gardini, Laura & Commendatore, Pasquale, 2019. "A credit cycle model with market sentiments," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 159-174.
    4. Abiry, Raphael & Ferdinandusse, Marien & Ludwig, Alexander & Nerlich, Carolin, 2022. "Climate change mitigation: How effective is green quantitative easing?," ZEW Discussion Papers 22-027, ZEW - Leibniz Centre for European Economic Research.
    5. Ströbel, Johannes & Wurgler, Jeffrey, 2021. "What do you think about climate finance?," CEPR Discussion Papers 16622, C.E.P.R. Discussion Papers.
    6. Chiappori, Pierre Andre & Guesnerie, Roger, 1988. "Endogenous fluctuations under rational expectations," European Economic Review, Elsevier, vol. 32(2-3), pages 389-397, March.
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    Keywords

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    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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